Precision: [tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0'), tensor(1., device='cuda:0')]

Output distance: [tensor(38599.4805, device='cuda:0'), tensor(38186.7266, device='cuda:0'), tensor(39896.7852, device='cuda:0'), tensor(38401.2031, device='cuda:0'), tensor(40619.8359, device='cuda:0'), tensor(39508.3516, device='cuda:0'), tensor(39812.8047, device='cuda:0'), tensor(39265.5898, device='cuda:0'), tensor(39508.9180, device='cuda:0'), tensor(38683.2461, device='cuda:0')]

Prediction loss: [tensor(39919.1953, device='cuda:0'), tensor(36168.6250, device='cuda:0'), tensor(39351.1797, device='cuda:0'), tensor(37158.7500, device='cuda:0'), tensor(38627.7617, device='cuda:0'), tensor(39693.4844, device='cuda:0'), tensor(39183.9141, device='cuda:0'), tensor(40474.1680, device='cuda:0'), tensor(41574.2461, device='cuda:0'), tensor(38411.0195, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(3588268.5000, device='cuda:0'), tensor(3422377.5000, device='cuda:0'), tensor(3814531.7500, device='cuda:0'), tensor(3546252.2500, device='cuda:0'), tensor(3571775.7500, device='cuda:0'), tensor(3653553.7500, device='cuda:0'), tensor(3550749.5000, device='cuda:0'), tensor(3648947.7500, device='cuda:0'), tensor(3739909.7500, device='cuda:0'), tensor(3568685., device='cuda:0')]

Training loss: 3601788.75

Prediction time: [datetime.timedelta(microseconds=40824), datetime.timedelta(microseconds=36844), datetime.timedelta(microseconds=37841), datetime.timedelta(microseconds=37840), datetime.timedelta(microseconds=40828), datetime.timedelta(microseconds=41822), datetime.timedelta(microseconds=42821), datetime.timedelta(microseconds=34852), datetime.timedelta(microseconds=37839), datetime.timedelta(microseconds=40827)]

Phi time: [datetime.timedelta(seconds=1, microseconds=285551), datetime.timedelta(microseconds=726920), datetime.timedelta(microseconds=732892), datetime.timedelta(microseconds=722937), datetime.timedelta(microseconds=721936), datetime.timedelta(microseconds=733888), datetime.timedelta(microseconds=731893), datetime.timedelta(microseconds=738869), datetime.timedelta(microseconds=729845), datetime.timedelta(microseconds=721998)]

